OpenHPI

Automated Visual Software Analytics (openHPI)

Offered by Hasso-Plattner-Institut,

In this course, we explore how the effectiveness of software development projects can be pro-actively improved by applying concepts, techniques, and tools from software diagnosis. The term "software diagnosis" refers to recently innovated techniques from automated software analysis and software visual analytics that aim at giving insights into information about complex software system implementations, the correlated software development processes, and the system evolution.
As precondition, our interested learners for this course shall have general knowledge about software development processes and procedures and have experience in IT-systems development or software maintenance.

To this end, all common, traditionally separated infomation sources of software development get automatically extracted, related, and combined. The ultimate goals of these techniques are to provide not only software engineers but also all other stakeholders better instruments to monitor, to comprehend, to discuss, and to steer software development activities. In particular we will investigate how "software maps" as cartography-oriented, general-purpose, powerful visual analytics instruments can be used to improve software development effectiveness and transparency.
This course is especially interesting for - IT-project managers - Software developers, software testers and software engineers - Software architects and modelers - Parties responsible for financing the IT-development in a company
Basic Modules:

Complex software and software "engineering": a dilemma
Facets of software complexity
Key principles and methods of automated software analysis
Key principles and methods of software visualization
Concepts of software diagnosis
Diagnosis of statics information
Diagnosis of dynamics information
Diagnosis of evolution-related information
Information mining for complex software systems
Information mapping for complex software systems
Software maps - getting insights into hierarchy information
Application scenario: discovering developer involvement
Application scenario: discovering "code that smells"
Application scenario: monitoring system redesign processes
Application scenario: discovering implementation hierarchy modifications
Hierarchical bundle views - getting insights into relations
Application scenario: system refactoring and decoupling subsystems
Trace views - getting insights into software system dynamics
Application scenario: comparing feature execution of two software versions
Knowing instead of Believing: How software diagnosis improves effectiveness
Literature and further readings

Advanced Modules:

Software maps and layout algorithms
Software maps based on Voronoi maps
Efficient rendering of large software maps

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